It is an interesting area to analyze the complexity of cardiac rhythms. Permutation entropy is a well known complexity measure for time series. It is based on representation of consecutive values by ordinal patterns. We adapt the algorithm which creates ordinal patterns by including repeated values. Then we use the variety of signal symbolizations to analyze the signal complexity in different scales. Proposed by us approach to the permutation entropy allowed to detect the statistically significant difference in cardiovascular dynamics of healthy people and patients with vasovagal syncope. Cardiovascular signals were recorded during head-up tilt table test, which is valuable tool to provoking orthostatic related changes in cardiovascular dynamics.

• Legal notice:
  

  Copyright (c) Pielaszek Research, all rights reserved.
  The above materials, including auxiliary resources, are subject to Publisher's copyright and the Author(s) intellectual rights. Without limiting Author(s) rights under respective Copyright Transfer Agreement, no part of the above documents may be reproduced without the express written permission of Pielaszek Research, the Publisher. Express permission from the Author(s) is required to use the above materials for academic purposes, such as lectures or scientific presentations.
  In every case, proper references including Author(s) name(s) and URL of this webpage: https://science24.com/paper/31818 must be provided.